IEEE

A Study on a Planar Point Cloud ICP Registration Algorithm Based on Boundary Extraction

Abstract: The demand for 3D scanning of workpiece geometries in automated assembly within workshops is increasingly critical, playing a vital role in the process. Point cloud registration, as an ...
IEEE

Student’s Performance Prediction Using Machine Learning Algorithms- A Comparative Study

Abstract: Predicting and enhancing student performance has been a crucial topic of concentration in education amid the quick development of technology and the increasing need for higher-quality ...
IEEE

A Comprehensive and Comparative Investigation of Maximum Power Point Tracking Algorithms for Photovoltaic Systems

Abstract: This paper presents a detailed comparative analysis of conventional and AI-driven Maximum Power Point Tracking (MPPT) techniques utilized in photovoltaic (PV) systems. The study evaluates ...
IEEE

FSAC-IA: A Hierarchical Constructed SAC-IA Algorithm for Point Cloud Alignment Acceleration

Abstract: Point cloud alignment plays a crucial role in numerous fields and applications, enabling the integration, analysis, and reconstruction of 3D data. SAmple Consensus Initial Alignment (SAC-IA) ...
Cfr.org

A Guide to the Gaza Peace Deal

Two Palestinian youth react to the news of the ceasefire between Israel and Hamas from Khan Younis. Ramadan Abed/Reuters A long-awaited ceasefire between Israel and Hamas is finally underway, and now ...
IEEE

A Review of Point Target and Extended Target Tracking Algorithms

Abstract: In this paper, we investigate the methods of multitarget tracking in imaging process, focusing on both point targets and extended targets. Point target imaging is characterized by low signal ...
IEEE

Enhanced Harmony Search Algorithm for Maximum Power Point Tracking Under Partial Shading in PV Systems

Abstract: Multiple power peaks are introduced under nonuniform irradiation conditions in photovoltaic (PV) systems. However, conventional maximum power point tracking (MPPT) algorithms, such as the ...
IEEE

Resilient Vision-Inertial Fusion Algorithm Based on the Depth of Feature Point

Abstract: Visual simultaneous localization and mapping (VSLAM) as an efficient positioning and navigation solution has been widely used in fields such as unmanned aerial vehicles, robots, and ...
IEEE

Enhanced iteration closest point is based on stochastic differential evolution algorithm and random sampling

Abstract: To address the issue of low accuracy in 3D point cloud registration, we present a novel iterative closest point (ICP) algorithm for point registration using the stochastic differential ...
IEEE

AUV Path Planning and Object Tracking Algorithm Based on Reinforcement Learning Under Point Cloud Observation

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
IEEE

Multi-Target Point Path Planning and Tracking of Unmanned Surface Vehicle Using SFLOS Algorithm and Incremental PID Control With Crane-Assisted

Abstract: To enhance the multi-target path planning and tracking performance of Unmanned Surface Vehicles (USVs), a combined control strategy integrating the Serret-Frenet Line-of-Sight (SFLOS) ...
IEEE

Formation Control Algorithms for Drone Swarms and The Single Point of Failure Crisis: A Review

Abstract: Formation control algorithms are a prominent area of study in the domain of drones and drone swarms. The goal of the formation control algorithms is to manage and manipulate individuals to ...